TLDR: Precisely, a global leader in data integrity, has announced significant advancements to its Data Integrity Suite, introducing new AI-powered capabilities for data quality, observability, governance, and location intelligence. These enhancements, revealed at the company’s Trust ’25 Data Integrity Summit, aim to help enterprises build AI-ready data environments, gain comprehensive visibility across hybrid data ecosystems, and embed trusted data into critical workflows for confident decision-making.
Precisely, the global leader in data integrity, has rolled out substantial enhancements to its Data Integrity Suite, integrating cutting-edge AI capabilities to revolutionize data quality, observability, governance, and location intelligence. These innovations were officially unveiled during the company’s Trust ’25 Data Integrity Summit, underscoring Precisely’s commitment to enabling businesses to establish robust data foundations essential for scaling AI and analytics initiatives, achieving unparalleled visibility across complex hybrid data environments, and ensuring the seamless integration of trusted data into operational workflows.
Malte Polley, Team Leader – Data Analytics & AI at MRH Trowe, a prominent independent commercial insurance broker in Germany, lauded the partnership with Precisely. “Our partnership with Precisely enables us to strengthen the transparency and reliability of our data assets,” stated Polley. He further emphasized, “By integrating advanced data discovery and quality rules, we can assess the trustworthiness of critical datasets with confidence, ensuring high-integrity data is embedded across our operations and decision-making processes. With Precisely, we have engaged with a very innovative partner, who listens to our feedback and shows a great understanding of their customers’ needs.”
Key AI-Powered Advancements Include:
AI-Powered Data Quality and Entity Resolution: Addressing the prevalent challenge of manual and error-prone data quality management, especially with the escalating demands of AI and analytics, the Data Integrity Suite now offers enhanced intelligence, scalability, and flexibility. This includes the ability to create single entity views through AI-powered match and merge functionalities, support on-premises processing for data residency and compliance, boost performance with pushdown optimization and metadata-driven pipelines, and improve efficiency with reusable rules in data quality pipelines.
Intelligent Discovery and Observability: To combat the lack of insight into data quality issues across hybrid environments, the suite extends data flow visibility. This reduces data downtime, accelerates root cause analysis, and ensures data health throughout its lifecycle. New capabilities allow for discovering, assessing, and scoring data trustworthiness; observing on-premises and cloud data to proactively identify anomalies; gaining enhanced metadata and latency metrics for replication pipelines; and viewing data lineage across replication flows.
AI with Real-World Context: Recognizing that AI models often underperform without real-world, location-based context, Precisely has embedded advanced location intelligence and data enrichment directly into operational and analytical workflows. This includes exploring Precisely datasets by location and enriching data at scale with the Data Graph API, which now supports new spatial analysis and batch processing. Additionally, the new AI-powered Address Proximity Search enables fast, flexible searches to identify nearby features for any chosen location, and APIs are available for building location-aware AI applications.
Chris Hall, Chief Product Officer at Precisely, underscored the strategic importance of these developments. “There is no doubt that trusted data is the cornerstone of every successful AI, analytics, and business transformation initiative,” Hall remarked. He concluded, “With these latest enhancements, we’re empowering customers with an intelligent, cohesive, and user-friendly data environment to push their organizations ahead, finding greater efficiencies and growth opportunities that advance them on their data integrity journey.”
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These advancements are designed to enable organizations to build ‘AI-ready’ data and activate it with the contextual richness required to power next-generation AI applications, ensuring accurate, consistent, and contextual data for confident business decisions.
